Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Soh, Yun Joon"'
Autor:
Soh, Yun Joon, Zhao, Jishen
The explosion of open-sourced models and Question-Answering (QA) datasets emphasizes the importance of automated QA evaluation. We studied the statistics of the existing evaluation metrics for a better understanding of their limitations. By measuring
Externí odkaz:
http://arxiv.org/abs/2410.10030
Supporting longer context for Large Language Models (LLM) is a promising direction to advance LLMs. As training a model for a longer context window is computationally expensive, many alternative solutions, such as Retrieval Augmented Generation (RAG)
Externí odkaz:
http://arxiv.org/abs/2409.13695
Convolutional neural networks (CNNs) demonstrate promising accuracy in a wide range of applications. Among all layers in CNNs, convolution layers are the most computation-intensive and consume the most energy. As the maturity of device and fabricatio
Externí odkaz:
http://arxiv.org/abs/2004.00243
Autor:
Izraelevitz, Joseph, Yang, Jian, Zhang, Lu, Kim, Juno, Liu, Xiao, Memaripour, Amirsaman, Soh, Yun Joon, Wang, Zixuan, Xu, Yi, Dulloor, Subramanya R., Zhao, Jishen, Swanson, Steven
Scalable nonvolatile memory DIMMs will finally be commercially available with the release of the Intel Optane DC Persistent Memory Module (or just "Optane DC PMM"). This new nonvolatile DIMM supports byte-granularity accesses with access times on the
Externí odkaz:
http://arxiv.org/abs/1903.05714